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Towards a catalogue of biodiversity databases: An ontological case study
Jarrett Blair1, Rodger Gwiazdowski2, Andrew Borrelli1
1University of Guelph, Guelph, Canada University of Guelph Guelph Canada.
Digital access to species data is crucial for biodiversity informatics. A review of the Biodiversity Information Projects of the World (BIPW) dataset found over 40% of biodiversity databases are inaccessible, risking data loss.
Area of Science:
- Biodiversity informatics
- Data science
- Information science
Background:
- Biodiversity informatics relies on accessible digital species data.
- Current online resources lack categorization, hindering field growth.
- The Biodiversity Information Projects of the World (BIPW) dataset aimed to index biodiversity databases.
Purpose of the Study:
- To assess the accessibility and composition of biodiversity databases listed in the BIPW dataset.
- To identify trends and challenges in the biodiversity information landscape.
- To propose solutions for improved biodiversity data discoverability and preservation.
Main Methods:
- Applied a classification scheme to score ~600 databases from the BIPW dataset.
- Categorized databases based on nine data types.
- Assessed the current accessibility of these online resources.
Main Results:
- Only 315 (~53%) of the investigated databases were accessible.
- A significant portion of biodiversity databases suffer from accessibility issues like link rot.
- The biodiversity information landscape is precarious, with data at risk of being lost.
Conclusions:
- A substantial number of biodiversity databases are inaccessible or at risk of loss.
- There is a critical need for better organization and preservation of biodiversity data.
- A community-driven database with an ontology could enhance discovery and support vulnerable databases.
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